Software Engineer - Data Platform
Engineering – Data & DevOps /
About the Role:
As Dexterity’s Software Engineer - Data Platform, you will be responsible for building highly reliable applications that serve critical business metrics to internal and external customers to showcase the power of Dexterity’s Robot Platform and to drive the growth of the business. You will be building near real time data processing systems to collect and process robot telemetry data to generate these business insights.
At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work.
We’re starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production. And did we mention we’re customer-obsessed? Every decision, large and small, is driven by one question – how can we empower our customers with robots to do more than they thought was possible?
Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We’re a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality!
Day to Day Activities:
Design and deploy software to ingest, process and analyze the data generated by 1000 of robots and robotic systems.
Design and Develop APIs and backend systems to expose business critical data.
Design, Build, analyze and scale data processing pipelines that meet the defined SLIs.
Collaborate with cross-functional teams to drive company wide OKRs.
Evangelize the observability stack and other data systems and increase adoption.
Degree in Computer Science or related technical discipline, or related practical experience.
Proficiency in any programming language: Golang, Java or Python.
Comfortable working with a lot of data: collection, storage, analysis.
Strong analytical and problem-solving skills.
Familiarity with a wide array of software stack technologies such as Relational and NoSql Datastores, Real time processing systems: Flink/Spark, PubSub Systems, Rest APIs/GRPC, Workflow orchestration systems, Public Cloud
Experience with algorithms and data structures
Equal Opportunity Employer:
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.